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預測維護市場 - 全球和區域分析：按應用、按產品、按地區 - 分析和預測 (2024-2034)
市場調查報告書
商品編碼
1496187

預測維護市場 - 全球和區域分析：按應用、按產品、按地區 - 分析和預測 (2024-2034)

Predictive Maintenance Market - A Global and Regional Analysis: Focus on End-use Industry, Technique, Technology, Offering, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5個工作天內

價格
簡介目錄

在各種因素和市場促進因素的支持下，預測性維護市場規模顯著成長。

在樂觀的情況下，2024年市場估值為113.4億美元，預計將以26.76%的年複合成長率擴張，到2034年達到1214.9億美元。

主要市場統計資料
預測期 2024-2034
2024年評估 113.4億美元
2034年預測 1214.9億美元
年複合成長率 26.76%

該成長的關鍵驅動力是人們越來越認知到預測性維護在最佳化資產性能和降低各行業營運成本方面的優勢。預測性維護解決方案在提高設備可靠性，最大限度地減少非計劃性停機時間和最大限度地延長資產壽命方面發揮關鍵作用，提高營運和成本效率。這項需求源自於業界對主動維護策略在確保營運連續性和競爭力方面的重要性的日益認知。

此外，對數位化和工業 4.0舉措的日益關注推動預測性維護解決方案的採用。隨著物聯網感測器、巨量資料分析和雲端運算技術的普及，組織利用預測性維護來利用即時資料洞察來識別潛在的設備故障並更有效地安排維護活動。先進分析工具和平台的可用性不斷增加，進一步加速了這一趨勢，這些工具和平台使組織能夠從資料中獲得可操作的見解並最佳化維護實踐。

此外，強制要求資產可靠性和安全性的監管要求和行業標準推動預測性維護解決方案的採用。 IBM、ABB Ltd. 和Emerson電氣等專門從事預測性維護的公司處於開發針對各行業特定需求的創新解決方案的前沿。這些公司在資料分析、人工智慧和機器學習方面的專業知識和領域知識在塑造全球預測性維護市場格局方面發揮關鍵作用。

總體而言，由於人們對其優勢、數位化趨勢、監管促進因素以及技術和解決方案的進步的認知不斷增強，預測性維護市場穩步成長。

本報告研究了全球預測性維護市場，並提供了市場概述、依應用、產品、地區分類的趨勢，和參與市場的公司概況。

目錄

執行摘要

第1章 市場：產業展望

  • 趨勢：當前和未來的影響評估
  • 供應鏈概覽
  • 研發回顧
  • 監管狀況
  • 相關利益者分析
  • 全球重大事件影響分析
  • 市場動態概覽

第2章 預測性維護市場（依應用）

  • 應用細分
  • 應用概述
  • 預測性維護市場（依最終用途產業）
  • 預測性維護市場（依技術）

第3章 預測性維護市場（依產品）

  • 產品細分
  • 產品概要
  • 預測性維護市場（依技術）
  • 預測性維護市場（依產品分類）

第4章 預測性維護市場（依地區）

  • 預測性維護市場（依地區）
  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

第5章 公司簡介

  • 未來展望
  • 地理評估
    • ABB Ltd.
    • IBM Corporation
    • Schneider Electric
    • AWS
    • Google Inc.
    • Microsoft Corporation
    • Hitachi
    • SAP
    • SAS Institute
    • Software AG
    • Tibco Software
    • Oracle
    • Altair
    • Splunk
    • Emerson Electric
    • 其他主要企業

第6章 調查方法

簡介目錄
Product Code: DT02125SA

Introduction to Predictive Maintenance Market

The predictive maintenance market is experiencing significant growth, fueled by various key factors and market drivers. In an optimistic scenario, the market is valued at $11.34 billion in 2024 and is anticipated to expand at a CAGR of 26.76% to reach $121.49 billion by 2034.

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$11.34 Billion
2034 Forecast$121.49 Billion
CAGR26.76%

A primary driver for this growth is the increasing recognition of the benefits of predictive maintenance in optimizing asset performance and reducing operational costs across various industries. Predictive maintenance solutions play a crucial role in enhancing equipment reliability, minimizing unplanned downtime, and maximizing asset lifespan, leading to improved operational efficiency and cost-effectiveness. This demand arises from industries' growing understanding of the importance of proactive maintenance strategies in ensuring operational continuity and competitiveness.

Additionally, the rising emphasis on digitalization and Industry 4.0 initiatives is driving the adoption of predictive maintenance solutions. With the proliferation of IoT sensors, big data analytics, and cloud computing technologies, organizations can leverage predictive maintenance to harness real-time data insights, identify potential equipment failures, and schedule maintenance activities more efficiently. This trend is further accelerated by the increasing availability of advanced analytics tools and platforms, enabling organizations to unlock actionable insights from their data and optimize maintenance practices.

Furthermore, regulatory requirements and industry standards mandating asset reliability and safety are driving the adoption of predictive maintenance solutions. Companies specializing in predictive maintenance, such as IBM, ABB Ltd., and Emerson Electric, are at the forefront of developing innovative solutions tailored to the specific needs of different industries. Their expertise in data analytics, AI, and machine learning, coupled with their domain knowledge, are instrumental in shaping the global predictive maintenance market landscape.

Overall, the predictive maintenance market is witnessing robust growth, propelled by the growing recognition of its benefits, digitalization trends, and regulatory drivers, coupled with advancements in technology and solution offerings.

Market Segmentation:

Segmentation 1: by End-use Industry

  • Energy and Utilities
  • Manufacturing
  • Automotive and Transportation
  • Aerospace and Defense
  • Construction and Mining
  • Telecommunications
  • Others

Segmentation 2: by Technique

  • Vibration Analysis
  • Infrared Thermography
  • Acoustic Monitoring
  • Oil Analysis
  • Motor Circuit Analysis
  • Others

Segmentation 3: by Technology

  • Analytics and Data Management
  • Artificial Intelligence
  • IoT Platform
  • Sensors and Other Devices

Segmentation 4: by Offering

  • Solutions
  • Services

Segmentation 5: by Region

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

How can this report add value to an organization?

Product/Innovation Strategy: The global predictive maintenance market has been extensively segmented based on various categories, such as end-use industry, offering, technique, and technology. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.

Competitive Strategy: A detailed competitive benchmarking of the players operating in the global predictive maintenance market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

  • ABB Ltd.
  • IBM Corporation
  • Schneider Electric
  • Microsoft Corporation
  • Hitachi
  • Oracle

Key Questions Answered in this Report:

  • What are the main factors driving the demand for Predictive Maintenance market?
  • What are the major patents filed by the companies active in the Predictive Maintenance market?
  • Who are the key players in the Predictive Maintenance market, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the Predictive Maintenance market?
  • What are the strategies adopted by the key companies to gain a competitive edge in Predictive Maintenance market?
  • What is the futuristic outlook for the Predictive Maintenance market in terms of growth potential?
  • What is the current estimation of the Predictive Maintenance market, and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • Which regions demonstrate the highest adoption rates for Predictive Maintenance market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
  • 1.2 Supply Chain Overview
    • 1.2.1 Value Chain Analysis
    • 1.2.2 Pricing Forecast
  • 1.3 R&D Review
    • 1.3.1 Patent Filing Trend by Country, by Company
  • 1.4 Regulatory Landscape
  • 1.5 Stakeholder Analysis
    • 1.5.1 Use Case
    • 1.5.2 End User and Buying Criteria
  • 1.6 Impact Analysis for Key Global Events
  • 1.7 Market Dynamics Overview
    • 1.7.1 Market Drivers
    • 1.7.2 Market Restraints
    • 1.7.3 Market Opportunities

2. Predictive Maintenance Market (by Application)

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 Predictive Maintenance Market (by End-use Industry)
    • 2.3.1 Energy and Utilities
    • 2.3.2 Manufacturing
    • 2.3.3 Automotive and Transportation
    • 2.3.4 Aerospace and Defence
    • 2.3.5 Construction and Mining
    • 2.3.6 Telecommunications
    • 2.3.7 Others
  • 2.4 Predictive Maintenance Market (by Technique)
    • 2.4.1 Vibration Analysis
    • 2.4.2 Infrared Thermography
    • 2.4.3 Acoustic Monitoring
    • 2.4.4 Oil Analysis
    • 2.4.5 Motor Circuit Analysis
    • 2.4.6 Others

3. Predictive Maintenance Market (by Products)

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 Predictive Maintenance Market (by Technology)
    • 3.3.1 Analytics and Data Management
    • 3.3.2 Artificial Intelligence
    • 3.3.3 IoT Platform
    • 3.3.4 Sensors and Other Devices
  • 3.4 Predictive Maintenance Market (by Offering)
    • 3.4.1 Solutions
    • 3.4.2 Services

4. Predictive Maintenance Market (by Region)

  • 4.1 Predictive Maintenance Market (by Region)
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 U.S.
      • 4.2.6.1 Market by Application
      • 4.2.6.2 Market by Product
    • 4.2.7 Canada
      • 4.2.7.1 Market by Application
      • 4.2.7.2 Market by Product
    • 4.2.8 Mexico
      • 4.2.8.1 Market by Application
      • 4.2.8.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Germany
      • 4.3.6.1 Market by Application
      • 4.3.6.2 Market by Product
    • 4.3.7 France
      • 4.3.7.1 Market by Application
      • 4.3.7.2 Market by Product
    • 4.3.8 U.K.
      • 4.3.8.1 Market by Application
      • 4.3.8.2 Market by Product
    • 4.3.9 Italy
      • 4.3.9.1 Market by Application
      • 4.3.9.2 Market by Product
    • 4.3.10 Rest-of-Europe
      • 4.3.10.1 Market by Application
      • 4.3.10.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 China
      • 4.4.6.1 Market by Application
      • 4.4.6.2 Market by Product
    • 4.4.7 Japan
      • 4.4.7.1 Market by Application
      • 4.4.7.2 Market by Product
    • 4.4.8 India
      • 4.4.8.1 Market by Application
      • 4.4.8.2 Market by Product
    • 4.4.9 South Korea
      • 4.4.9.1 Market by Application
      • 4.4.9.2 Market by Product
    • 4.4.10 Rest-of-Asia-Pacific
      • 4.4.10.1 Market by Application
      • 4.4.10.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 South America
      • 4.5.6.1 Market by Application
      • 4.5.6.2 Market by Product
    • 4.5.7 Middle East and Africa
      • 4.5.7.1 Market by Application
      • 4.5.7.2 Market by Product

5. Companies Profiled

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 ABB Ltd.
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 IBM Corporation
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Schneider Electric
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 AWS
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 Google Inc.
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Microsoft Corporation
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 Hitachi
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 SAP
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 SAS Institute
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 Software AG
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Tibco Software
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.12 Oracle
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share
    • 5.2.13 Altair
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share
    • 5.2.14 Splunk
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share
    • 5.2.15 Emerson Electric
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share
    • 5.2.16 Other Key Companies

6. Research Methodology